Eeva Tuppurainen
- Virology top 0.1%
- Epidemiology top 1%
- Plant Science top 2%
- Ecology, Evolution, Behavior and Systematics top 1%
- Genetics top 5%
- Co-authors
- Chris OuraEstelle H. VenterJacobus A.W. CoetzerWilhelm H. StoltszCharles Euloge LamienDavid B. WallaceJimmy C. LubingaAdama Diallo
- Topics
- Poxvirus research and outbreaks (44 papers)Herpesvirus Infections and Treatments (25 papers)Plant Virus Research Studies (17 papers)
- Partner nations
- United KingdomSouth AfricaAustria
In The Last Decade
Eeva Tuppurainen
45 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 61
- Virology 2.9k
- Epidemiology 1.9k
- Plant Science 1.1k
- Ecology, Evolution, Behavior and Systematics 895
- Genetics 573
Countries citing papers authored by Eeva Tuppurainen
This map shows the geographic impact of Eeva Tuppurainen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eeva Tuppurainen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eeva Tuppurainen more than expected).
Fields of papers citing papers by Eeva Tuppurainen
This network shows the impact of papers produced by Eeva Tuppurainen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eeva Tuppurainen. The network helps show where Eeva Tuppurainen may publish in the future.
Co-authorship network of co-authors of Eeva Tuppurainen
This figure shows the co-authorship network connecting the top 25 collaborators of Eeva Tuppurainen. A scholar is included among the top collaborators of Eeva Tuppurainen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eeva Tuppurainen. Eeva Tuppurainen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 18 | |
| 4 | 120 | |
| 5 | 50 | |
| 6 | 35 | |
| 7 | 89 | |
| 8 | 58 | |
| 9 | 24 | |
| 10 | 41 | |
| 11 | 117 | |
| 12 | 23 | |
| 13 | 40 | |
| 14 | 62 | |
| 15 | 37 | |
| 16 | 134 | |
| 17 | Phylogenetic analysis of the capripoxvirus RPO30 gene and its use in a PCR test for differentiating sheep poxvirus from goat poxvirus. | 0 |
| 18 | 41 | |
| 19 | 194 | |
| 20 | 103 |
About Eeva Tuppurainen
Eeva Tuppurainen is a scholar working on Virology, Ecology, Evolution, Behavior and Systematics and Epidemiology, having authored 47 papers that have together received 3.4k indexed citations. Recurring topics across this work include Poxvirus research and outbreaks (44 papers), Herpesvirus Infections and Treatments (25 papers) and Plant Virus Research Studies (17 papers). The work is most often cited by research in Virology (2.9k citations), Epidemiology (1.9k citations) and Ecology, Evolution, Behavior and Systematics (895 citations). Eeva Tuppurainen has collaborated with scholars based in United Kingdom, South Africa and Austria. Frequent co-authors include Chris Oura, Estelle H. Venter, Jacobus A.W. Coetzer, Wilhelm H. Stoltsz, Charles Euloge Lamien, David B. Wallace, Jimmy C. Lubinga, Adama Diallo, Shawn Babiuk and Kris De Clercq. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of General Virology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.